Effect of an Evidence-based Inpatient Tobacco Dependence Treatment Service on 30-, 90-, and 180-Day Hospital Readmission Rates
INTRODUCTION:Smoking is a risk factor for hospitalization and interferes with patient care due to its effects on pulmonary function, wound healing, and interference with treatments and medications. Although benefits of stopping smoking are well-established, few hospitals provide tobacco dependence t...
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Veröffentlicht in: | Medical care 2018-04, Vol.56 (4), p.358-363 |
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description | INTRODUCTION:Smoking is a risk factor for hospitalization and interferes with patient care due to its effects on pulmonary function, wound healing, and interference with treatments and medications. Although benefits of stopping smoking are well-established, few hospitals provide tobacco dependence treatment services (TDTS) due to cost, lack of mandatory tobacco cessation standards and lack of evidence demonstrating clinical and financial benefits to hospitals and insurers for providing services.
METHODS:This study explored the effect of an inpatient TDTS on 30-, 90-, and 180-day hospital readmissions. To carry out this work, 3 secondary datasets were linked, which included clinical electronic health record data, tobacco cessation program data, and statewide health care utilization data. Odds ratios (ORs) were calculated using inverse propensity score–weighted logistic regression models, with program exposure as the primary independent variable and 30 (90 and 180)-day readmission rates as the dependent variable, and adjustment for putative covariates.
RESULTS:Odds of readmission were compared for patients who did and did not receive TDTS. At 30 days postdischarge, smokers exposed to the TDTS had a lower odds of readmission (OR=0.77, P=0.031). At 90 and 180 days, odds of readmission remained lower in the TDTS group (ORs=0.87 and 0.86, respectively), but were not statistically significant.
DISCUSSION:Findings from the current study, which are supported by prior studies, provide evidence that delivery of TDTS is a strategy that may help to reduce hospital readmissions. |
doi_str_mv | 10.1097/MLR.0000000000000884 |
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METHODS:This study explored the effect of an inpatient TDTS on 30-, 90-, and 180-day hospital readmissions. To carry out this work, 3 secondary datasets were linked, which included clinical electronic health record data, tobacco cessation program data, and statewide health care utilization data. Odds ratios (ORs) were calculated using inverse propensity score–weighted logistic regression models, with program exposure as the primary independent variable and 30 (90 and 180)-day readmission rates as the dependent variable, and adjustment for putative covariates.
RESULTS:Odds of readmission were compared for patients who did and did not receive TDTS. At 30 days postdischarge, smokers exposed to the TDTS had a lower odds of readmission (OR=0.77, P=0.031). At 90 and 180 days, odds of readmission remained lower in the TDTS group (ORs=0.87 and 0.86, respectively), but were not statistically significant.
DISCUSSION:Findings from the current study, which are supported by prior studies, provide evidence that delivery of TDTS is a strategy that may help to reduce hospital readmissions.</description><identifier>ISSN: 0025-7079</identifier><identifier>EISSN: 1537-1948</identifier><identifier>DOI: 10.1097/MLR.0000000000000884</identifier><identifier>PMID: 29401186</identifier><language>eng</language><publisher>United States: Copyright Wolters Kluwer Health, Inc. All rights reserved</publisher><subject>Adult ; Aged ; Dependence ; Dependent variables ; Electronic Health Records ; Electronic medical records ; Female ; Health care ; Health services utilization ; Hospital Administration - statistics & numerical data ; Hospitals ; Humans ; Independent variables ; Longitudinal Studies ; Male ; Middle Aged ; Odds Ratio ; Patient admissions ; Patient Readmission - statistics & numerical data ; Patients ; Public health ; Pulmonary functions ; Regression analysis ; Regression models ; Respiratory function ; Risk factors ; Smoking ; Smoking Cessation - statistics & numerical data ; Statistical analysis ; Tobacco ; Tobacco Use Disorder - therapy ; Wound healing</subject><ispartof>Medical care, 2018-04, Vol.56 (4), p.358-363</ispartof><rights>Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.</rights><rights>Copyright Lippincott Williams & Wilkins Ovid Technologies Apr 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4854-ee60107612e0d9acadfec1377dd20bca11ddca7ed047952fc997be8450a0dbd3</citedby><cites>FETCH-LOGICAL-c4854-ee60107612e0d9acadfec1377dd20bca11ddca7ed047952fc997be8450a0dbd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29401186$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cartmell, Kathleen B</creatorcontrib><creatorcontrib>Dooley, Mary</creatorcontrib><creatorcontrib>Mueller, Martina</creatorcontrib><creatorcontrib>Nahhas, Georges J</creatorcontrib><creatorcontrib>Dismuke, Clara E</creatorcontrib><creatorcontrib>Warren, Graham W</creatorcontrib><creatorcontrib>Talbot, Vince</creatorcontrib><creatorcontrib>Cummings, K Michael</creatorcontrib><title>Effect of an Evidence-based Inpatient Tobacco Dependence Treatment Service on 30-, 90-, and 180-Day Hospital Readmission Rates</title><title>Medical care</title><addtitle>Med Care</addtitle><description>INTRODUCTION:Smoking is a risk factor for hospitalization and interferes with patient care due to its effects on pulmonary function, wound healing, and interference with treatments and medications. Although benefits of stopping smoking are well-established, few hospitals provide tobacco dependence treatment services (TDTS) due to cost, lack of mandatory tobacco cessation standards and lack of evidence demonstrating clinical and financial benefits to hospitals and insurers for providing services.
METHODS:This study explored the effect of an inpatient TDTS on 30-, 90-, and 180-day hospital readmissions. To carry out this work, 3 secondary datasets were linked, which included clinical electronic health record data, tobacco cessation program data, and statewide health care utilization data. Odds ratios (ORs) were calculated using inverse propensity score–weighted logistic regression models, with program exposure as the primary independent variable and 30 (90 and 180)-day readmission rates as the dependent variable, and adjustment for putative covariates.
RESULTS:Odds of readmission were compared for patients who did and did not receive TDTS. At 30 days postdischarge, smokers exposed to the TDTS had a lower odds of readmission (OR=0.77, P=0.031). At 90 and 180 days, odds of readmission remained lower in the TDTS group (ORs=0.87 and 0.86, respectively), but were not statistically significant.
DISCUSSION:Findings from the current study, which are supported by prior studies, provide evidence that delivery of TDTS is a strategy that may help to reduce hospital readmissions.</description><subject>Adult</subject><subject>Aged</subject><subject>Dependence</subject><subject>Dependent variables</subject><subject>Electronic Health Records</subject><subject>Electronic medical records</subject><subject>Female</subject><subject>Health care</subject><subject>Health services utilization</subject><subject>Hospital Administration - statistics & numerical data</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Independent variables</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Odds Ratio</subject><subject>Patient admissions</subject><subject>Patient Readmission - statistics & numerical data</subject><subject>Patients</subject><subject>Public health</subject><subject>Pulmonary functions</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Respiratory function</subject><subject>Risk factors</subject><subject>Smoking</subject><subject>Smoking Cessation - statistics & numerical data</subject><subject>Statistical analysis</subject><subject>Tobacco</subject><subject>Tobacco Use Disorder - therapy</subject><subject>Wound healing</subject><issn>0025-7079</issn><issn>1537-1948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU9vEzEQxS0EoqHwDRCyxLVbxvsnti9IqA20UhBSyN2atWeJy2a92JtUvfDZcUipCgfm4JE8v3nzpMfYawHnArR893m5OofHpVT9hM1EU8lC6Fo9ZTOAsikkSH3CXqR0AyBk1ZTP2UmpaxBCzWfs56LryE48dBwHvth7R4OlosVEjl8PI06ehomvQ4vWBn5JIw2_Eb6OhNP2MPxKce_zTxh4BcUZ14cHB8eFguIS7_hVSKOfsOcrQrf1KfmMrnCi9JI967BP9Oq-n7L1x8X64qpYfvl0ffFhWdhaNXVBNAcBci5KAqfRosumRSWlcyW0FoVwzqIkB7XUTdlZrWVLqm4AwbWuOmXvj7Ljrt2Ss9l1xN6M0W8x3pmA3vw9GfzGfAt706hGqFJmgbf3AjH82FGazE3YxSFbNiVI0CXUUGWqPlI2hpQidQ8XBJhDaCaHZv4NLa-9eezuYelPShlQR-A29BPF9L3f3VI0G8J-2vxf-xcwcKOc</recordid><startdate>201804</startdate><enddate>201804</enddate><creator>Cartmell, Kathleen B</creator><creator>Dooley, Mary</creator><creator>Mueller, Martina</creator><creator>Nahhas, Georges J</creator><creator>Dismuke, Clara E</creator><creator>Warren, Graham W</creator><creator>Talbot, Vince</creator><creator>Cummings, K Michael</creator><general>Copyright Wolters Kluwer Health, Inc. All rights reserved</general><general>Lippincott Williams & Wilkins Ovid Technologies</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>5PM</scope></search><sort><creationdate>201804</creationdate><title>Effect of an Evidence-based Inpatient Tobacco Dependence Treatment Service on 30-, 90-, and 180-Day Hospital Readmission Rates</title><author>Cartmell, Kathleen B ; Dooley, Mary ; Mueller, Martina ; Nahhas, Georges J ; Dismuke, Clara E ; Warren, Graham W ; Talbot, Vince ; Cummings, K Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4854-ee60107612e0d9acadfec1377dd20bca11ddca7ed047952fc997be8450a0dbd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Dependence</topic><topic>Dependent variables</topic><topic>Electronic Health Records</topic><topic>Electronic medical records</topic><topic>Female</topic><topic>Health care</topic><topic>Health services utilization</topic><topic>Hospital Administration - statistics & numerical data</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Independent variables</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Odds Ratio</topic><topic>Patient admissions</topic><topic>Patient Readmission - statistics & numerical data</topic><topic>Patients</topic><topic>Public health</topic><topic>Pulmonary functions</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Respiratory function</topic><topic>Risk factors</topic><topic>Smoking</topic><topic>Smoking Cessation - statistics & numerical data</topic><topic>Statistical analysis</topic><topic>Tobacco</topic><topic>Tobacco Use Disorder - therapy</topic><topic>Wound healing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cartmell, Kathleen B</creatorcontrib><creatorcontrib>Dooley, Mary</creatorcontrib><creatorcontrib>Mueller, Martina</creatorcontrib><creatorcontrib>Nahhas, Georges J</creatorcontrib><creatorcontrib>Dismuke, Clara E</creatorcontrib><creatorcontrib>Warren, Graham W</creatorcontrib><creatorcontrib>Talbot, Vince</creatorcontrib><creatorcontrib>Cummings, K Michael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medical care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cartmell, Kathleen B</au><au>Dooley, Mary</au><au>Mueller, Martina</au><au>Nahhas, Georges J</au><au>Dismuke, Clara E</au><au>Warren, Graham W</au><au>Talbot, Vince</au><au>Cummings, K Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of an Evidence-based Inpatient Tobacco Dependence Treatment Service on 30-, 90-, and 180-Day Hospital Readmission Rates</atitle><jtitle>Medical care</jtitle><addtitle>Med Care</addtitle><date>2018-04</date><risdate>2018</risdate><volume>56</volume><issue>4</issue><spage>358</spage><epage>363</epage><pages>358-363</pages><issn>0025-7079</issn><eissn>1537-1948</eissn><abstract>INTRODUCTION:Smoking is a risk factor for hospitalization and interferes with patient care due to its effects on pulmonary function, wound healing, and interference with treatments and medications. Although benefits of stopping smoking are well-established, few hospitals provide tobacco dependence treatment services (TDTS) due to cost, lack of mandatory tobacco cessation standards and lack of evidence demonstrating clinical and financial benefits to hospitals and insurers for providing services.
METHODS:This study explored the effect of an inpatient TDTS on 30-, 90-, and 180-day hospital readmissions. To carry out this work, 3 secondary datasets were linked, which included clinical electronic health record data, tobacco cessation program data, and statewide health care utilization data. Odds ratios (ORs) were calculated using inverse propensity score–weighted logistic regression models, with program exposure as the primary independent variable and 30 (90 and 180)-day readmission rates as the dependent variable, and adjustment for putative covariates.
RESULTS:Odds of readmission were compared for patients who did and did not receive TDTS. At 30 days postdischarge, smokers exposed to the TDTS had a lower odds of readmission (OR=0.77, P=0.031). At 90 and 180 days, odds of readmission remained lower in the TDTS group (ORs=0.87 and 0.86, respectively), but were not statistically significant.
DISCUSSION:Findings from the current study, which are supported by prior studies, provide evidence that delivery of TDTS is a strategy that may help to reduce hospital readmissions.</abstract><cop>United States</cop><pub>Copyright Wolters Kluwer Health, Inc. All rights reserved</pub><pmid>29401186</pmid><doi>10.1097/MLR.0000000000000884</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Dependence Dependent variables Electronic Health Records Electronic medical records Female Health care Health services utilization Hospital Administration - statistics & numerical data Hospitals Humans Independent variables Longitudinal Studies Male Middle Aged Odds Ratio Patient admissions Patient Readmission - statistics & numerical data Patients Public health Pulmonary functions Regression analysis Regression models Respiratory function Risk factors Smoking Smoking Cessation - statistics & numerical data Statistical analysis Tobacco Tobacco Use Disorder - therapy Wound healing |
title | Effect of an Evidence-based Inpatient Tobacco Dependence Treatment Service on 30-, 90-, and 180-Day Hospital Readmission Rates |
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